In this section, we conduct experiments on six real-world datasets: Handwrittenhttps://archive.ics.uci.edu/ml/datasets/Multiple+Features, CUB [1]}, Caltech101 [2]}, PIEhttp://www.cs.cmu.edu/afs/cs/project/PIE/MultiPie/Multi-Pie/Home.html, Scene15 [3]} and HMDB [4]}. We first compare our algorithm with single-view classifiers to validate the effectiveness of our algorithm in utilizing multiple views. Then, we apply existing classifiers to multi-view features and conduct experiments under different levels of noise to investigate their ability in identifying multi-view OOD samples. Details of these datasets and experimental setting can be found in the appendix.
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